Evidence map›Paper›PMID 28903046›Full record

ArticleCell reports2017

Genome-Scale Architecture of Small Molecule Regulatory Networks and the Fundamental Trade-Off between Regulation and Enzymatic Activity.

Ed Reznik, Dimitris Christodoulou, Joshua E Goldford, Emma Briars, Uwe Sauer, Daniel Segrè, Elad Noor

Abstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  3. Microbial Metabolism: Primary and Secondary Metabolites.Progress in molecular and subcellular biology · 2026
    Review
  4. Article
  5. Systematic identification of allosteric effectors inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Principles of metabolome conservation in animals.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. The Knowns and Unknowns in Protein-Metabolite Interactions.International journal of molecular sciences · 2023
    Review
  17. Article
  18. Protein-Metabolite Interactions Shape Cellular Metabolism and Physiology.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  19. Article
  20. Characterization of an Entner-Doudoroff pathway-activated Escherichia coli.Biotechnology for biofuels and bioproducts · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ed ReznikCenter for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Biomedical Engineering, Boston University, Boston, MA, USA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: reznike@mskcc.org.
Dimitris ChristodoulouInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Systems Biology Graduate School, Zurich 8057, Switzerland.
Joshua E GoldfordBioinformatics Program, Boston University, Boston, MA, USA.
Emma BriarsBioinformatics Program, Boston University, Boston, MA, USA.
Uwe SauerInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Daniel SegrèDepartment of Biomedical Engineering, Boston University, Boston, MA, USA; Bioinformatics Program, Boston University, Boston, MA, USA; Department of Biology, Boston University, Boston, MA, USA.
Elad NoorInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. Electronic address: noor@imsb.biol.ethz.ch.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
A platform for mining, visualization and design of microbial interaction networksR01GM121950 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DELISI, CHARLES, HU, ZHENJUN · 2017 to 2019
$1.1M
NCI NIH HHS P30 CA008748NIGMS NIH HHS R01 GM121950
6 · The paper itself

Abstract

Metabolic flux is in part regulated by endogenous small molecules that modulate the catalytic activity of an enzyme, e.g., allosteric inhibition. In contrast to transcriptional regulation of enzymes, technical limitations have hindered the production of a genome-scale atlas of small molecule-enzyme regulatory interactions. Here, we develop a framework leveraging the vast, but fragmented, biochemical literature to reconstruct and analyze the small molecule regulatory network (SMRN) of the model organism Escherichia coli, including the primary metabolite regulators and enzyme targets. Using metabolic control analysis, we prove a fundamental trade-off between regulation and enzymatic activity, and we combine it with metabolomic measurements and the SMRN to make inferences on the sensitivity of enzymes to their regulators. Generalizing the analysis to other organisms, we identify highly conserved regulatory interactions across evolutionarily divergent species, further emphasizing a critical role for small molecule interactions in the maintenance of metabolic homeostasis.

Indexed as

Gene Expression Regulation, BacterialGene Regulatory NetworksGenome, BacterialCarbonEscherichia coliMetabolomeThermodynamicsTranscription, GeneticCarbonelasticityenzyme kineticsmetabolismregulatory networksmall molecule regulationtrade-offs

Identifiers

PMID28903046
PMCPMC5600504

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.